Further results on the equivalence between SOVA and max-log-MAP decodings
Cong Ling, Cui Long, Xiaofu Wu
Abstract
Cong Ling, Cui Long, Xiaofu Wu
Abstract
Turbo codes are preferred for high rate data services in the third generation mobile communication system IMT-2000. Thus low decoding delay and low complexity interactive decoding is of paramount importance. The modified soft output Viterbi algorithm (SOVA) and the max-log-maximum a posterioi (MAP) algorithm are such decoding techniques. The equivalence of modified SOVA and max-log-MAP decodings has been proven on the assumption of no a priori information and infinite decoding depth. Since the a priori information has to be updated continuously in iterative decoding, we prove their equivalence when there exists a priori information. We further demonstrate the equivalence between the sliding window (SW) max-log-MAP algorithm and the modified SOVA for finite decoding depth.
OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Turbo codes are preferred for high rate data services in the third generation mobile communication system IMT-2000. Thus low decoding delay and low complexity interactive decoding is of paramount importance. The modified soft output Viterbi algorithm (SOVA) and the max-log-maximum a posterioi (MAP) algorithm are such decoding techniques. The equivalence of modified SOVA and max-log-MAP decodings has been proven on the assumption of no a priori information and infinite decoding depth. Since the a priori information has to be updated continuously in iterative decoding, we prove their equivalence when there exists a priori information. We further demonstrate the equivalence between the sliding window (SW) max-log-MAP algorithm and the modified SOVA for finite decoding depth.
Key concepts: Viterbi algorithm, Decoding methods, A priori and a posteriori, Equivalence (formal languages), Computer science, Algorithm, Turbo code, Iterative Viterbi decoding